- Continuous Outcomes
- Analyze continuous outcome data using mean, standard deviation, and sample size for the experimental and control groups.
- Binary Outcomes
- Analyze binary outcome data using event counts and sample size for the experimental and control groups.
MetaJam
Meta-analysis for jamovi, powered mainly by the R package meta.
Analyses
Two-group meta-analysis and the main analysis options in one compact overview.
- Model Settings
- Fit common-effect and random-effects models with various effect measures and heterogeneity estimators.
- Subgroup Analysis
- Compare effects and test for differences across subgroups.
- Meta-Regression
- Fit meta-regression models to explore the effect of continuous and categorical predictors.
- Leave-One-Out Analysis
- Evaluate the influence of individual studies by omitting them one at a time.
- Publication Bias
- Assess publication bias using funnel plots, trim-and-fill analysis, and the Doi plot / LFK index.
Release notes
Screenshots
Place images in the screenshots folder before deployment and the gallery will build itself.
Help & support
This module is actively being developed. Questions, issues, and feature ideas are welcome.
Citation & star
If MetaJam helps your research or work, cite the module and star the GitHub repository.